{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Instance Balanced Augmentation\n",
    "more information, please visit https://www.jiqizhixin.com/articles/2019-12-14-5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import cv2 as cv\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import copy\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 导入数据加载和保存路径"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load json file\n",
    "with open('seacoco/train_new.json') as g:\n",
    "    train = json.load(g)  \n",
    "    \n",
    "# image path\n",
    "train_img_path = 'seacoco/train/'\n",
    "\n",
    "# aug_img save_path\n",
    "aug_img_path = 'seacoco/ahf_aug_train/'\n",
    "\n",
    "# aug_json save_path\n",
    "aug_json_path = 'seacoco/ahf_aug_train.json'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['images', 'type', 'annotations', 'categories'])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('The keys in annotation dataset:\\n', list(train.keys()))\n",
    "print(\"train['images'][0]:\\n\", train['images'][0])\n",
    "print(\"train['annotations'][0]:\\n\", train['annotations'][0])\n",
    "print(\"train['categories']:\\n\", train['categories'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "打印增强前的类别信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The instance number of each class:\n",
      "holothurian :  4574\n",
      "echinus :  18676\n",
      "scallop :  5554\n",
      "starfish :  5704\n"
     ]
    }
   ],
   "source": [
    "class_freq_dict = {}\n",
    "\n",
    "# init class_fre_dict\n",
    "for cls in train['categories']:\n",
    "    class_freq_dict[cls['id']] = 0\n",
    "\n",
    "# count the instance number of each class\n",
    "for ann in train['annotations']:\n",
    "    class_freq_dict[ann['category_id']] += 1\n",
    "\n",
    "# print out class frequency\n",
    "print(\"The instance number of each class:\")\n",
    "for cls_id in list(class_freq_dict.keys()):\n",
    "    for cat in train['categories']:\n",
    "        if cat['id'] == cls_id:\n",
    "            print(cat['name'], ': ', class_freq_dict[cls_id])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.正式开始实例平衡增强\n",
    "首先要了解两个变量：\n",
    "- SCALE_RATIO是指增强前图片放大比率。\n",
    "- AUG_NUM是横纵坐标上各要平均选几个滑动点，如果是3且滑动窗口左上角点在水平方向上滑动范围是0-99，那么滑动窗口将依次滑动到0,到33,再到99，一张图最后会有3（横）x3（纵）张增强后的图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "SCALE_RATIO = 1.5 # the scaling ratio\n",
    "AUG_NUM = 3 # 横纵坐标上各要平均选几个滑动点"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于原数据集存在类别不平衡问题（实例数量：海参4574，海胆18676，扇贝5554和海星5704），所以打算使用阿里之前提出的一个实例平衡增强方法去增强数据解决不平衡问题，首先先把原图放大1.5倍，然后用原图原始尺寸大小作为滑窗大小，以滑窗形式水平平均地移动三次，垂直平均地移动三次，最后1张图会得到9张相当于shift和scale后的增强图片。在滑动中发现如果不对滑动窗口做限制，会加重类别不平衡，因为海胆数量太多，且滑动结果会有很多单张只有一个扇贝的情况从而导致扇贝很多。因此对滑动窗口进行限制：滑动窗口内含海胆就不要该窗口，滑动窗口内仅有一个扇贝的不要要。最后增强数据和原数据合并后的实例数量是：海参13016，海胆18676，扇贝13287和海星12322。类别平衡许多了且该增强模仿了水下手持拍摄设备从远到近的拍摄过程。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
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      "  1%|▏         | 68/4619 [00:14<23:27,  3.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  1%|▏         | 69/4619 [00:15<23:52,  3.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 70/4619 [00:15<24:16,  3.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 71/4619 [00:15<24:49,  3.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 72/4619 [00:16<24:58,  3.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 73/4619 [00:16<24:12,  3.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 74/4619 [00:16<23:08,  3.27it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 75/4619 [00:17<22:16,  3.40it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 76/4619 [00:17<21:42,  3.49it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 77/4619 [00:17<21:29,  3.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 79/4619 [00:17<16:24,  4.61it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 81/4619 [00:17<12:52,  5.87it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 83/4619 [00:17<10:23,  7.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 85/4619 [00:18<08:40,  8.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 87/4619 [00:18<07:27, 10.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 89/4619 [00:18<07:37,  9.89it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 91/4619 [00:18<06:34, 11.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 93/4619 [00:18<05:59, 12.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 95/4619 [00:18<05:35, 13.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 97/4619 [00:19<16:36,  4.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 99/4619 [00:21<28:47,  2.62it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 100/4619 [00:21<22:52,  3.29it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 101/4619 [00:21<18:57,  3.97it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 102/4619 [00:21<16:16,  4.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 103/4619 [00:21<14:19,  5.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 104/4619 [00:22<12:39,  5.94it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 105/4619 [00:22<11:57,  6.29it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 106/4619 [00:22<11:17,  6.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 107/4619 [00:22<10:55,  6.88it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 108/4619 [00:23<29:09,  2.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 109/4619 [00:24<42:36,  1.76it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 110/4619 [00:25<52:27,  1.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 111/4619 [00:26<53:12,  1.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 112/4619 [00:26<53:35,  1.40it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 113/4619 [00:27<1:00:20,  1.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 114/4619 [00:28<1:00:52,  1.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  2%|▏         | 115/4619 [00:29<1:00:04,  1.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 116/4619 [00:33<2:05:11,  1.67s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 117/4619 [00:34<1:46:16,  1.42s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 118/4619 [00:34<1:32:49,  1.24s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 119/4619 [00:35<1:21:39,  1.09s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 120/4619 [00:35<59:38,  1.26it/s]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 121/4619 [00:36<54:00,  1.39it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 122/4619 [00:36<49:41,  1.51it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 123/4619 [00:37<41:45,  1.79it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 124/4619 [00:37<31:34,  2.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 125/4619 [00:37<35:51,  2.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 126/4619 [00:38<41:32,  1.80it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 127/4619 [00:39<40:58,  1.83it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 128/4619 [00:39<34:29,  2.17it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 129/4619 [00:40<40:40,  1.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 130/4619 [00:40<40:20,  1.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 131/4619 [00:40<36:49,  2.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 132/4619 [00:41<42:00,  1.78it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 133/4619 [00:42<41:10,  1.82it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 134/4619 [00:42<31:08,  2.40it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 135/4619 [00:42<24:16,  3.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 136/4619 [00:42<19:20,  3.86it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 137/4619 [00:42<15:59,  4.67it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 138/4619 [00:42<18:13,  4.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 139/4619 [00:43<15:04,  4.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 140/4619 [00:43<13:02,  5.72it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 141/4619 [00:43<11:30,  6.49it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 142/4619 [00:43<10:28,  7.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 143/4619 [00:43<09:47,  7.62it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 144/4619 [00:44<18:22,  4.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 145/4619 [00:44<30:29,  2.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 146/4619 [00:45<33:16,  2.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 147/4619 [00:46<40:37,  1.83it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 148/4619 [00:46<45:33,  1.64it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 149/4619 [00:47<38:43,  1.92it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 150/4619 [00:47<36:28,  2.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 151/4619 [00:48<43:16,  1.72it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 152/4619 [00:48<39:10,  1.90it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 153/4619 [00:49<39:14,  1.90it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 154/4619 [00:49<29:47,  2.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 155/4619 [00:49<23:19,  3.19it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 156/4619 [00:49<18:40,  3.98it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 157/4619 [00:49<15:39,  4.75it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 158/4619 [00:50<28:42,  2.59it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 159/4619 [00:50<22:47,  3.26it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 160/4619 [00:51<28:19,  2.62it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  3%|▎         | 161/4619 [00:51<36:06,  2.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 162/4619 [00:52<41:28,  1.79it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 163/4619 [00:53<45:30,  1.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 164/4619 [00:54<48:08,  1.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 165/4619 [00:54<45:27,  1.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 166/4619 [00:55<43:22,  1.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 167/4619 [00:55<46:27,  1.60it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 168/4619 [00:56<34:54,  2.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 169/4619 [00:56<26:42,  2.78it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 170/4619 [00:56<21:10,  3.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 171/4619 [00:56<17:13,  4.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 172/4619 [00:56<14:31,  5.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▎         | 173/4619 [00:56<12:40,  5.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 174/4619 [00:56<11:10,  6.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 175/4619 [00:56<10:22,  7.14it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 176/4619 [00:56<09:37,  7.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 177/4619 [00:57<09:12,  8.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 178/4619 [00:57<08:51,  8.35it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 179/4619 [00:57<08:34,  8.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 180/4619 [00:57<08:29,  8.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 181/4619 [00:57<08:17,  8.92it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 182/4619 [00:57<08:18,  8.91it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 183/4619 [00:57<08:33,  8.64it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 184/4619 [00:57<08:51,  8.35it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 185/4619 [00:57<09:21,  7.90it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 186/4619 [00:58<28:34,  2.59it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 187/4619 [00:59<23:01,  3.21it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 188/4619 [00:59<19:04,  3.87it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 189/4619 [00:59<16:11,  4.56it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 190/4619 [00:59<14:26,  5.11it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 191/4619 [00:59<17:28,  4.22it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 192/4619 [00:59<15:13,  4.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 193/4619 [01:00<13:38,  5.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 194/4619 [01:00<12:21,  5.97it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 195/4619 [01:00<11:45,  6.27it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 196/4619 [01:00<11:18,  6.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 197/4619 [01:00<11:17,  6.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 198/4619 [01:00<10:53,  6.77it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 199/4619 [01:00<10:28,  7.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 200/4619 [01:01<10:17,  7.16it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 201/4619 [01:01<10:10,  7.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 202/4619 [01:02<29:29,  2.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 203/4619 [01:03<43:15,  1.70it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 204/4619 [01:03<33:10,  2.22it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 205/4619 [01:04<45:03,  1.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 206/4619 [01:04<34:34,  2.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  4%|▍         | 207/4619 [01:05<35:41,  2.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 208/4619 [01:05<27:53,  2.64it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 209/4619 [01:05<22:13,  3.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 210/4619 [01:05<18:10,  4.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 211/4619 [01:05<15:18,  4.80it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 212/4619 [01:05<17:34,  4.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 213/4619 [01:06<32:46,  2.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 214/4619 [01:07<41:22,  1.77it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 215/4619 [01:08<48:53,  1.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 216/4619 [01:08<41:08,  1.78it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 217/4619 [01:09<38:49,  1.89it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 218/4619 [01:09<30:13,  2.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 219/4619 [01:09<24:00,  3.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 220/4619 [01:09<19:52,  3.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 221/4619 [01:09<16:51,  4.35it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 222/4619 [01:09<14:55,  4.91it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▍         | 223/4619 [01:10<13:28,  5.44it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "  5%|▍         | 224/4619 [01:10<12:21,  5.93it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "  5%|▍         | 225/4619 [01:10<11:47,  6.21it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "  5%|▍         | 226/4619 [01:10<20:05,  3.65it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "  5%|▍         | 227/4619 [01:11<24:12,  3.02it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "  5%|▍         | 228/4619 [01:11<20:42,  3.53it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
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      "  5%|▍         | 229/4619 [01:11<17:37,  4.15it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      "  5%|▍         | 230/4619 [01:11<18:25,  3.97it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
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      "  5%|▌         | 231/4619 [01:12<31:32,  2.32it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      "  5%|▌         | 232/4619 [01:13<31:37,  2.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "  5%|▌         | 233/4619 [01:14<40:16,  1.82it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  5%|▌         | 234/4619 [01:15<51:11,  1.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  5%|▌         | 235/4619 [01:15<43:14,  1.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "  5%|▌         | 237/4619 [01:16<40:28,  1.80it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "  5%|▌         | 238/4619 [01:16<31:21,  2.33it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "  5%|▌         | 239/4619 [01:16<24:46,  2.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  6%|▋         | 295/4619 [01:31<09:46,  7.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  6%|▋         | 296/4619 [01:31<09:42,  7.42it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  6%|▋         | 297/4619 [01:31<09:52,  7.29it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  6%|▋         | 298/4619 [01:32<13:50,  5.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  6%|▋         | 299/4619 [01:32<12:21,  5.83it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  6%|▋         | 300/4619 [01:32<13:55,  5.17it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 301/4619 [01:32<13:57,  5.16it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 302/4619 [01:32<15:48,  4.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 303/4619 [01:33<13:51,  5.19it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 304/4619 [01:33<11:55,  6.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 305/4619 [01:33<10:45,  6.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 306/4619 [01:33<09:47,  7.34it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 307/4619 [01:33<10:45,  6.68it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 308/4619 [01:33<09:56,  7.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 309/4619 [01:34<20:16,  3.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 310/4619 [01:34<17:09,  4.19it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 311/4619 [01:34<14:48,  4.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 312/4619 [01:35<30:38,  2.34it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 313/4619 [01:36<43:50,  1.64it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 314/4619 [01:37<52:21,  1.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 315/4619 [01:38<52:10,  1.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 316/4619 [01:39<57:44,  1.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 317/4619 [01:40<56:12,  1.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 318/4619 [01:40<42:11,  1.70it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 319/4619 [01:40<32:15,  2.22it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 320/4619 [01:40<25:31,  2.81it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 321/4619 [01:40<20:45,  3.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 322/4619 [01:40<19:34,  3.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 323/4619 [01:40<16:35,  4.32it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 324/4619 [01:41<14:22,  4.98it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 325/4619 [01:42<32:46,  2.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 326/4619 [01:42<25:50,  2.77it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 327/4619 [01:42<21:01,  3.40it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 328/4619 [01:42<17:35,  4.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 329/4619 [01:42<15:02,  4.76it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 330/4619 [01:43<26:24,  2.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 331/4619 [01:43<21:19,  3.35it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 332/4619 [01:44<31:18,  2.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 333/4619 [01:45<37:34,  1.90it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 334/4619 [01:45<29:09,  2.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 335/4619 [01:45<23:34,  3.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 336/4619 [01:45<19:23,  3.68it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 337/4619 [01:45<22:59,  3.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 338/4619 [01:45<18:35,  3.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 339/4619 [01:46<15:47,  4.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 340/4619 [01:46<13:59,  5.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 341/4619 [01:46<12:34,  5.67it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 342/4619 [01:47<30:48,  2.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 343/4619 [01:47<24:23,  2.92it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 344/4619 [01:48<31:36,  2.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 345/4619 [01:48<24:30,  2.91it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  7%|▋         | 346/4619 [01:48<19:26,  3.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 347/4619 [01:48<15:56,  4.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 348/4619 [01:48<13:29,  5.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 349/4619 [01:48<11:41,  6.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 350/4619 [01:48<10:36,  6.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 351/4619 [01:48<09:41,  7.34it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 352/4619 [01:49<22:45,  3.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 353/4619 [01:50<30:14,  2.35it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 354/4619 [01:50<28:06,  2.53it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 355/4619 [01:51<26:31,  2.68it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 356/4619 [01:51<20:49,  3.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 357/4619 [01:51<16:54,  4.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 358/4619 [01:51<17:10,  4.14it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 359/4619 [01:51<18:51,  3.76it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 360/4619 [01:52<29:45,  2.39it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 361/4619 [01:52<27:47,  2.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 362/4619 [01:53<21:47,  3.26it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 363/4619 [01:53<22:28,  3.16it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 364/4619 [01:53<24:04,  2.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 365/4619 [01:54<24:04,  2.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 366/4619 [01:54<22:09,  3.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 367/4619 [01:54<19:21,  3.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 368/4619 [01:55<25:10,  2.82it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 369/4619 [01:55<19:51,  3.57it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 370/4619 [01:55<16:16,  4.35it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 371/4619 [01:55<13:36,  5.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 372/4619 [01:55<11:50,  5.98it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 373/4619 [01:55<10:40,  6.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 374/4619 [01:55<14:49,  4.77it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 375/4619 [01:56<22:08,  3.19it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 376/4619 [01:56<17:44,  3.98it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 377/4619 [01:56<19:12,  3.68it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 378/4619 [01:57<29:30,  2.39it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 379/4619 [01:58<39:10,  1.80it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 380/4619 [01:58<29:47,  2.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 381/4619 [01:58<23:09,  3.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 382/4619 [01:58<18:36,  3.80it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 383/4619 [01:59<15:23,  4.59it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 384/4619 [01:59<12:58,  5.44it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 385/4619 [01:59<11:36,  6.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 386/4619 [01:59<17:23,  4.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 387/4619 [02:00<29:04,  2.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 388/4619 [02:01<36:15,  1.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 389/4619 [02:01<32:45,  2.15it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 390/4619 [02:02<42:31,  1.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 391/4619 [02:02<37:56,  1.86it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  8%|▊         | 392/4619 [02:03<33:45,  2.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 393/4619 [02:03<30:37,  2.30it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 394/4619 [02:03<28:27,  2.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 395/4619 [02:04<31:43,  2.22it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 396/4619 [02:05<33:20,  2.11it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 397/4619 [02:05<34:56,  2.01it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 398/4619 [02:06<35:46,  1.97it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 399/4619 [02:06<33:02,  2.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 400/4619 [02:06<31:27,  2.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 401/4619 [02:07<29:42,  2.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 402/4619 [02:07<23:07,  3.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 403/4619 [02:07<18:30,  3.80it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▊         | 404/4619 [02:07<15:25,  4.56it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 405/4619 [02:07<13:40,  5.14it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 406/4619 [02:07<12:01,  5.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 407/4619 [02:08<16:17,  4.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 408/4619 [02:08<14:11,  4.94it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 409/4619 [02:08<12:11,  5.75it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 410/4619 [02:08<11:07,  6.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 411/4619 [02:08<12:47,  5.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 412/4619 [02:08<11:52,  5.91it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 413/4619 [02:09<11:06,  6.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 414/4619 [02:09<10:29,  6.68it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 415/4619 [02:09<10:15,  6.83it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 416/4619 [02:09<09:54,  7.07it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 417/4619 [02:09<09:13,  7.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 418/4619 [02:09<08:47,  7.96it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 419/4619 [02:10<20:59,  3.34it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 420/4619 [02:10<20:49,  3.36it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 421/4619 [02:11<21:33,  3.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 422/4619 [02:11<18:07,  3.86it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 423/4619 [02:11<15:30,  4.51it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 424/4619 [02:11<13:30,  5.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 425/4619 [02:11<12:22,  5.65it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 426/4619 [02:11<11:24,  6.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 427/4619 [02:11<10:49,  6.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 428/4619 [02:11<10:17,  6.79it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 429/4619 [02:12<09:28,  7.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 430/4619 [02:12<09:17,  7.51it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 431/4619 [02:12<09:16,  7.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 432/4619 [02:12<09:04,  7.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 433/4619 [02:12<09:07,  7.65it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 434/4619 [02:12<08:49,  7.90it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 435/4619 [02:12<08:35,  8.11it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 436/4619 [02:12<08:31,  8.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 437/4619 [02:13<08:34,  8.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  9%|▉         | 438/4619 [02:13<08:52,  7.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 10%|▉         | 439/4619 [02:13<08:51,  7.87it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      " 10%|▉         | 441/4619 [02:13<08:14,  8.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      " 10%|▉         | 443/4619 [02:13<07:53,  8.82it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 10%|▉         | 444/4619 [02:13<07:42,  9.02it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "\n",
      " 11%|█         | 512/4619 [02:37<48:05,  1.42it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 11%|█         | 513/4619 [02:38<47:03,  1.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 11%|█         | 514/4619 [02:38<46:17,  1.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█         | 515/4619 [02:39<34:55,  1.96it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 11%|█         | 516/4619 [02:39<26:52,  2.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█         | 517/4619 [02:39<21:19,  3.21it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█         | 518/4619 [02:39<17:21,  3.94it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█         | 519/4619 [02:39<14:28,  4.72it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 520/4619 [02:39<12:38,  5.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 521/4619 [02:39<11:11,  6.11it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 522/4619 [02:39<10:17,  6.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 523/4619 [02:40<14:33,  4.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 524/4619 [02:40<17:16,  3.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 525/4619 [02:40<16:08,  4.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 526/4619 [02:40<13:39,  4.99it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 527/4619 [02:41<12:00,  5.68it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 528/4619 [02:41<10:51,  6.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 529/4619 [02:41<09:57,  6.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 530/4619 [02:41<09:27,  7.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 11%|█▏        | 531/4619 [02:41<10:40,  6.38it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 532/4619 [02:41<11:39,  5.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 533/4619 [02:41<10:35,  6.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 534/4619 [02:42<09:43,  7.00it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 535/4619 [02:42<09:18,  7.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      " 12%|█▏        | 536/4619 [02:42<08:47,  7.74it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 537/4619 [02:42<08:28,  8.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      " 12%|█▏        | 538/4619 [02:42<08:12,  8.29it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      "\n",
      " 12%|█▏        | 539/4619 [02:43<17:55,  3.79it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 540/4619 [02:44<30:49,  2.21it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 541/4619 [02:44<39:06,  1.74it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 542/4619 [02:45<45:00,  1.51it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 543/4619 [02:46<50:02,  1.36it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 544/4619 [02:47<52:27,  1.29it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      " 12%|█▏        | 546/4619 [02:49<54:05,  1.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      " 12%|█▏        | 561/4619 [02:52<08:10,  8.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      " 12%|█▏        | 564/4619 [02:52<07:48,  8.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 565/4619 [02:52<07:50,  8.62it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      " 12%|█▏        | 567/4619 [02:52<08:22,  8.07it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      "\n",
      " 12%|█▏        | 568/4619 [02:53<08:43,  7.74it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 569/4619 [02:53<08:40,  7.78it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 570/4619 [02:53<08:28,  7.97it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 12%|█▏        | 571/4619 [02:53<08:14,  8.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      " 12%|█▏        | 573/4619 [02:53<08:11,  8.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      " 12%|█▏        | 574/4619 [02:53<07:59,  8.44it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      " 12%|█▏        | 575/4619 [02:53<07:57,  8.46it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 12%|█▏        | 576/4619 [02:54<07:55,  8.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 12%|█▏        | 577/4619 [02:54<07:57,  8.46it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 13%|█▎        | 578/4619 [02:54<07:55,  8.49it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
      " 13%|█▎        | 580/4619 [02:54<07:51,  8.57it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 14%|█▍        | 654/4619 [03:16<08:38,  7.65it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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      "\n",
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      " 14%|█▍        | 655/4619 [03:16<08:14,  8.02it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 656/4619 [03:17<08:04,  8.17it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 657/4619 [03:17<07:56,  8.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 658/4619 [03:17<07:46,  8.49it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 659/4619 [03:17<07:46,  8.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 660/4619 [03:17<07:46,  8.49it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 661/4619 [03:17<08:06,  8.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 662/4619 [03:17<07:57,  8.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 663/4619 [03:17<07:47,  8.46it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 664/4619 [03:17<07:50,  8.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 665/4619 [03:18<07:42,  8.56it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 14%|█▍        | 666/4619 [03:18<07:45,  8.49it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 14%|█▍        | 667/4619 [03:18<08:12,  8.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 14%|█▍        | 668/4619 [03:18<07:58,  8.26it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 14%|█▍        | 669/4619 [03:18<07:53,  8.34it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 670/4619 [03:18<07:43,  8.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 671/4619 [03:18<07:44,  8.50it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 672/4619 [03:18<07:42,  8.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 673/4619 [03:19<07:37,  8.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 674/4619 [03:19<07:41,  8.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▍        | 675/4619 [03:19<07:40,  8.57it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▍        | 676/4619 [03:19<07:39,  8.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▍        | 677/4619 [03:19<07:38,  8.60it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▍        | 678/4619 [03:19<07:36,  8.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▍        | 679/4619 [03:19<07:41,  8.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▍        | 680/4619 [03:19<07:35,  8.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▍        | 681/4619 [03:19<07:36,  8.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▍        | 682/4619 [03:20<07:36,  8.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▍        | 683/4619 [03:20<07:26,  8.81it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▍        | 684/4619 [03:20<10:37,  6.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 685/4619 [03:20<15:53,  4.13it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 686/4619 [03:21<24:20,  2.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 687/4619 [03:22<29:58,  2.19it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 688/4619 [03:22<33:31,  1.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 689/4619 [03:23<35:06,  1.87it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 690/4619 [03:24<35:59,  1.82it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 691/4619 [03:24<41:03,  1.59it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▍        | 692/4619 [03:25<44:39,  1.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▌        | 693/4619 [03:26<47:55,  1.37it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▌        | 694/4619 [03:27<52:14,  1.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▌        | 695/4619 [03:28<56:59,  1.15it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 15%|█▌        | 696/4619 [03:29<59:40,  1.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 697/4619 [03:30<59:34,  1.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 698/4619 [03:31<1:00:13,  1.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 699/4619 [03:32<59:34,  1.10it/s]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 700/4619 [03:33<1:01:23,  1.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 701/4619 [03:34<1:02:01,  1.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 702/4619 [03:35<1:02:46,  1.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 703/4619 [03:36<1:03:10,  1.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 704/4619 [03:37<1:02:00,  1.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▌        | 705/4619 [03:38<1:02:31,  1.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 706/4619 [03:38<1:00:17,  1.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      "\n",
      " 15%|█▌        | 707/4619 [03:39<58:14,  1.12it/s]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▌        | 708/4619 [03:40<56:27,  1.15it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      " 15%|█▌        | 709/4619 [03:41<50:40,  1.29it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 15%|█▌        | 710/4619 [03:41<46:35,  1.40it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▌        | 711/4619 [03:42<43:54,  1.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▌        | 712/4619 [03:42<37:28,  1.74it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 15%|█▌        | 713/4619 [03:42<28:35,  2.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▌        | 714/4619 [03:42<22:55,  2.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 15%|█▌        | 715/4619 [03:43<18:43,  3.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      " 16%|█▌        | 716/4619 [03:43<15:36,  4.17it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 717/4619 [03:43<13:20,  4.87it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 718/4619 [03:43<12:03,  5.39it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 719/4619 [03:43<11:17,  5.75it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 720/4619 [03:43<10:29,  6.19it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 721/4619 [03:43<09:36,  6.77it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 722/4619 [03:43<08:58,  7.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 723/4619 [03:44<08:25,  7.70it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 724/4619 [03:44<11:26,  5.67it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
      " 16%|█▌        | 726/4619 [03:45<17:40,  3.67it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      " 16%|█▌        | 727/4619 [03:45<21:42,  2.99it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 728/4619 [03:45<24:24,  2.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 729/4619 [03:46<19:56,  3.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 730/4619 [03:46<16:38,  3.89it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 16%|█▌        | 731/4619 [03:46<19:54,  3.26it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 732/4619 [03:47<24:45,  2.62it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 733/4619 [03:47<30:16,  2.14it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 734/4619 [03:48<34:20,  1.89it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 735/4619 [03:49<37:49,  1.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 736/4619 [03:50<40:02,  1.62it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 737/4619 [03:50<42:30,  1.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 738/4619 [03:51<36:44,  1.76it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 739/4619 [03:51<35:02,  1.85it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 740/4619 [03:52<33:08,  1.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 741/4619 [03:52<31:04,  2.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 742/4619 [03:52<28:32,  2.26it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 743/4619 [03:53<29:45,  2.17it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 744/4619 [03:53<32:11,  2.01it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 745/4619 [03:54<37:09,  1.74it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 16%|█▌        | 746/4619 [03:55<41:42,  1.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▌        | 747/4619 [03:56<45:45,  1.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 16%|█▌        | 748/4619 [03:57<47:29,  1.36it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▌        | 749/4619 [03:57<48:42,  1.32it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      " 16%|█▌        | 750/4619 [03:58<50:02,  1.29it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 16%|█▋        | 751/4619 [03:59<50:41,  1.27it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▋        | 752/4619 [04:00<57:26,  1.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 16%|█▋        | 753/4619 [04:01<1:02:35,  1.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      " 16%|█▋        | 754/4619 [04:02<1:05:45,  1.02s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▋        | 755/4619 [04:04<1:07:27,  1.05s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▋        | 756/4619 [04:05<1:09:29,  1.08s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▋        | 757/4619 [04:06<1:10:58,  1.10s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▋        | 758/4619 [04:07<1:12:18,  1.12s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▋        | 759/4619 [04:08<1:09:08,  1.07s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▋        | 760/4619 [04:09<1:06:33,  1.03s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 16%|█▋        | 761/4619 [04:10<1:02:03,  1.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 16%|█▋        | 762/4619 [04:10<54:31,  1.18it/s]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
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      " 17%|█▋        | 766/4619 [04:14<59:07,  1.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 17%|█▋        | 767/4619 [04:15<58:04,  1.11it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 17%|█▋        | 768/4619 [04:16<57:54,  1.11it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 17%|█▋        | 769/4619 [04:17<1:01:32,  1.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 17%|█▋        | 770/4619 [04:18<59:46,  1.07it/s]  \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      " 17%|█▋        | 771/4619 [04:19<1:00:32,  1.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 17%|█▋        | 772/4619 [04:20<1:04:27,  1.01s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 17%|█▋        | 773/4619 [04:21<1:06:55,  1.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 17%|█▋        | 774/4619 [04:22<1:07:10,  1.05s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 17%|█▋        | 775/4619 [04:23<1:03:50,  1.00it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      " 17%|█▋        | 777/4619 [04:23<41:21,  1.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      " 17%|█▋        | 778/4619 [04:24<31:07,  2.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      " 17%|█▋        | 779/4619 [04:24<24:14,  2.64it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      " 17%|█▋        | 780/4619 [04:24<19:36,  3.26it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 17%|█▋        | 781/4619 [04:24<16:09,  3.96it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 17%|█▋        | 782/4619 [04:24<13:34,  4.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 17%|█▋        | 783/4619 [04:24<11:41,  5.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 17%|█▋        | 784/4619 [04:24<10:28,  6.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 17%|█▋        | 785/4619 [04:24<09:30,  6.72it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 17%|█▋        | 797/4619 [04:27<32:43,  1.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 17%|█▋        | 798/4619 [04:28<35:13,  1.81it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      " 17%|█▋        | 801/4619 [04:31<55:02,  1.16it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      " 17%|█▋        | 803/4619 [04:33<56:01,  1.14it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 19%|█▊        | 862/4619 [04:44<18:15,  3.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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      " 19%|█▉        | 868/4619 [04:48<38:16,  1.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 869/4619 [04:49<42:14,  1.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 870/4619 [04:50<44:28,  1.40it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 871/4619 [04:50<33:52,  1.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 872/4619 [04:50<26:30,  2.36it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 873/4619 [04:50<21:10,  2.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 874/4619 [04:50<17:45,  3.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 875/4619 [04:51<27:46,  2.25it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 876/4619 [04:51<21:59,  2.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 877/4619 [04:51<18:11,  3.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 878/4619 [04:51<15:16,  4.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 879/4619 [04:52<13:17,  4.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 880/4619 [04:52<11:29,  5.42it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 881/4619 [04:52<15:46,  3.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 882/4619 [04:53<26:35,  2.34it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 883/4619 [04:54<33:53,  1.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 884/4619 [04:55<45:00,  1.38it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 885/4619 [04:56<51:59,  1.20it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 886/4619 [04:57<57:20,  1.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 887/4619 [04:58<53:17,  1.17it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 888/4619 [04:58<39:24,  1.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 889/4619 [04:58<29:50,  2.08it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 890/4619 [04:58<23:00,  2.70it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 891/4619 [04:59<31:50,  1.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 892/4619 [05:00<37:56,  1.64it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 893/4619 [05:01<42:50,  1.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 894/4619 [05:01<32:42,  1.90it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 895/4619 [05:01<25:27,  2.44it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 896/4619 [05:01<20:06,  3.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 897/4619 [05:02<30:28,  2.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 898/4619 [05:03<38:49,  1.60it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 19%|█▉        | 899/4619 [05:04<45:45,  1.36it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 19%|█▉        | 900/4619 [05:04<34:39,  1.79it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 901/4619 [05:05<36:25,  1.70it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 902/4619 [05:05<32:37,  1.90it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 903/4619 [05:05<25:04,  2.47it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 904/4619 [05:05<20:04,  3.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 905/4619 [05:06<16:10,  3.83it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 906/4619 [05:06<13:33,  4.57it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 907/4619 [05:06<11:42,  5.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 908/4619 [05:06<10:17,  6.01it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 909/4619 [05:06<09:27,  6.54it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 910/4619 [05:06<13:30,  4.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 911/4619 [05:07<23:45,  2.60it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 20%|█▉        | 912/4619 [05:08<29:55,  2.07it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 913/4619 [05:08<23:27,  2.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 914/4619 [05:08<19:05,  3.24it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 915/4619 [05:08<15:29,  3.98it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 916/4619 [05:08<13:27,  4.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 917/4619 [05:09<12:12,  5.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 20%|█▉        | 918/4619 [05:09<11:14,  5.48it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 919/4619 [05:09<10:44,  5.74it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 20%|█▉        | 920/4619 [05:09<10:15,  6.01it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      " 20%|█▉        | 921/4619 [05:09<09:48,  6.28it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      " 20%|█▉        | 922/4619 [05:09<09:29,  6.49it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      " 20%|█▉        | 923/4619 [05:09<09:09,  6.73it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      " 20%|██        | 924/4619 [05:10<08:39,  7.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      " 20%|██        | 925/4619 [05:10<08:07,  7.58it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      " 20%|██        | 926/4619 [05:11<26:15,  2.34it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 927/4619 [05:11<30:03,  2.05it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 928/4619 [05:12<23:08,  2.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 929/4619 [05:12<18:28,  3.33it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 930/4619 [05:12<15:14,  4.03it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 931/4619 [05:12<13:22,  4.60it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 932/4619 [05:12<12:03,  5.10it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 933/4619 [05:12<10:59,  5.59it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 934/4619 [05:12<10:19,  5.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 935/4619 [05:13<22:26,  2.74it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 936/4619 [05:13<17:56,  3.42it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      " 20%|██        | 937/4619 [05:13<14:40,  4.18it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      " 20%|██        | 938/4619 [05:14<12:39,  4.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 20%|██        | 940/4619 [05:14<10:27,  5.86it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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     ]
    },
    {
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     "output_type": "stream",
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      " 27%|██▋       | 1268/4619 [05:34<03:53, 14.38it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
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      " 30%|███       | 1387/4619 [05:45<03:02, 17.69it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
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      " 30%|███       | 1392/4619 [05:45<02:56, 18.31it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      " 30%|███       | 1394/4619 [05:45<02:58, 18.09it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 30%|███       | 1396/4619 [05:45<02:55, 18.38it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
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      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 31%|███       | 1427/4619 [05:47<02:47, 19.01it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      " 40%|███▉      | 1838/4619 [06:08<01:24, 32.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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      "\n",
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      " 40%|████      | 1850/4619 [06:08<01:37, 28.44it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      " 40%|████      | 1865/4619 [06:09<01:52, 24.51it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
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      " 41%|████      | 1881/4619 [06:09<01:22, 33.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 41%|████      | 1885/4619 [06:09<01:18, 34.68it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 41%|████      | 1889/4619 [06:09<01:18, 34.83it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 41%|████      | 1893/4619 [06:10<01:25, 31.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 41%|████      | 1897/4619 [06:10<01:58, 22.93it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 41%|████      | 1900/4619 [06:10<02:35, 17.52it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 41%|████      | 1903/4619 [06:10<03:05, 14.67it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
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      " 41%|████▏     | 1906/4619 [06:11<02:39, 17.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 41%|████▏     | 1909/4619 [06:11<02:21, 19.15it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      " 41%|████▏     | 1913/4619 [06:11<02:00, 22.39it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1917/4619 [06:11<01:45, 25.57it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1921/4619 [06:11<01:47, 25.04it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1924/4619 [06:11<01:52, 23.93it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1928/4619 [06:11<01:43, 25.89it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1932/4619 [06:11<01:37, 27.64it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1936/4619 [06:12<01:30, 29.63it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1944/4619 [06:12<01:29, 29.95it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1948/4619 [06:12<01:29, 29.72it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1952/4619 [06:12<01:26, 30.91it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1956/4619 [06:12<01:23, 31.84it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 42%|████▏     | 1960/4619 [06:12<01:23, 31.88it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1964/4619 [06:12<01:18, 33.66it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1968/4619 [06:12<01:15, 35.00it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1972/4619 [06:13<01:13, 36.06it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1976/4619 [06:13<01:20, 32.67it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1980/4619 [06:13<01:22, 32.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1984/4619 [06:13<01:23, 31.41it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1988/4619 [06:13<01:19, 33.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1992/4619 [06:13<01:25, 30.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 1996/4619 [06:13<01:24, 31.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
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      " 43%|████▎     | 2004/4619 [06:14<01:39, 26.16it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 43%|████▎     | 2007/4619 [06:14<01:38, 26.43it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 44%|████▎     | 2010/4619 [06:14<01:41, 25.71it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 44%|████▎     | 2013/4619 [06:14<01:38, 26.45it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 44%|████▎     | 2017/4619 [06:14<01:29, 29.12it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      " 44%|████▍     | 2021/4619 [06:14<01:33, 27.65it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 44%|████▍     | 2024/4619 [06:14<01:37, 26.55it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 44%|████▍     | 2027/4619 [06:15<01:46, 24.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
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      " 44%|████▍     | 2030/4619 [06:15<01:45, 24.53it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\n",
      "\n",
      "\n",
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      "\n",
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     ]
    },
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    },
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      "\n",
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     ]
    },
    {
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     ]
    },
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      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "100%|██████████| 4619/4619 [09:21<00:00,  5.23it/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finishing instance-balanced augmentation\n"
     ]
    }
   ],
   "source": [
    "# 获取所有图片名\n",
    "all_img_names = [i['file_name'] for i in train['images']]\n",
    "\n",
    "# 初始化标注信息\n",
    "images = []\n",
    "annotations = []\n",
    "\n",
    "img_count = 0 # 记录有多少滑动窗口是含有标注的（即为有效窗口）\n",
    "ann_count = 0 # 记录有多少有效annotations\n",
    "for img_name in tqdm(all_img_names):\n",
    "    \n",
    "    # 导入图片并resize\n",
    "    img = cv.imread(train_img_path + img_name)\n",
    "    h, w = img.shape[0:2]\n",
    "    resize_img = cv.resize(img, (int(w * SCALE_RATIO), int(h * SCALE_RATIO)))\n",
    "\n",
    "    # 滑动最大范围\n",
    "    w_scope = (SCALE_RATIO - 1) * w\n",
    "    h_scope = (SCALE_RATIO - 1) * h\n",
    "\n",
    "    # 间隔移动的坐标起始点列表\n",
    "    win_x1s = list(np.linspace(0, w_scope, AUG_NUM))\n",
    "    win_y1s = list(np.linspace(0, h_scope, AUG_NUM))\n",
    "    \n",
    "    win_x1 = 0\n",
    "    win_y1 = 0\n",
    "    count = 0 # 记录该图片下滑动窗口的数量\n",
    "\n",
    "    for win_y1 in win_y1s:\n",
    "        for win_x1 in win_x1s:\n",
    "            count += 1\n",
    "            win_x1 = int(win_x1)\n",
    "            win_y1 = int(win_y1)\n",
    "            win_x2 = win_x1 + w\n",
    "            win_y2 = win_y1 + h\n",
    "            win_img = copy.deepcopy(resize_img[win_y1:win_y2,win_x1:win_x2,:])\n",
    "\n",
    "            # 根据图名字找到id\n",
    "            for imgs in train['images']:\n",
    "                if img_name == imgs['file_name']:\n",
    "                    image_id = imgs['id']\n",
    "            \n",
    "            cat_ids = [] # 收集该滑动窗口内所有category_id\n",
    "            # 根据图id找到标注\n",
    "            has_ann_flag = False # 该滑动窗口内是否有标注\n",
    "            for anns in train['annotations']:\n",
    "                if anns['image_id'] == image_id:\n",
    "\n",
    "                    # resize bbox\n",
    "                    bbox_x1 = int(anns['bbox'][0] * SCALE_RATIO)\n",
    "                    bbox_y1 = int(anns['bbox'][1] * SCALE_RATIO)\n",
    "                    bbox_x2 = int((anns['bbox'][0] + anns['bbox'][2]) * SCALE_RATIO)\n",
    "                    bbox_y2 = int((anns['bbox'][1] + anns['bbox'][3]) * SCALE_RATIO)\n",
    "\n",
    "                    # 更新bbox annotations(标注框在窗口内不改变，标注框相交则只取相交部分的内容)\n",
    "                    bbox_x1_new = max(win_x1, bbox_x1) - win_x1\n",
    "                    bbox_y1_new = max(win_y1, bbox_y1) - win_y1\n",
    "                    bbox_x2_new = min(win_x2, bbox_x2) - win_x1\n",
    "                    bbox_y2_new = min(win_y2, bbox_y2) - win_y1\n",
    "                            \n",
    "                    if bbox_x1_new >= bbox_x2_new or bbox_y1_new >= bbox_y2_new:\n",
    "                        continue\n",
    "                    else:\n",
    "                        cat_ids.append(anns['category_id'])\n",
    "                        \n",
    "            # 排除掉‘含有海胆’或‘只有一个扇贝’的滑动窗口\n",
    "            if cat_ids != [] and 2 not in cat_ids and list(np.unique(cat_ids)) != [3]:\n",
    "                # 根据图id找到标注\n",
    "                has_ann_flag = False # 该滑动窗口内是否有标注\n",
    "                for anns in train['annotations']:\n",
    "                    if anns['image_id'] == image_id:\n",
    "\n",
    "                        # resize bbox\n",
    "                        bbox_x1 = int(anns['bbox'][0] * SCALE_RATIO)\n",
    "                        bbox_y1 = int(anns['bbox'][1] * SCALE_RATIO)\n",
    "                        bbox_x2 = int((anns['bbox'][0] + anns['bbox'][2]) * SCALE_RATIO)\n",
    "                        bbox_y2 = int((anns['bbox'][1] + anns['bbox'][3]) * SCALE_RATIO)\n",
    "\n",
    "                        # 更新bbox annotations(标注框在窗口内不改变，标注框相交则只取相交部分的内容)\n",
    "                        bbox_x1_new = max(win_x1, bbox_x1) - win_x1\n",
    "                        bbox_y1_new = max(win_y1, bbox_y1) - win_y1\n",
    "                        bbox_x2_new = min(win_x2, bbox_x2) - win_x1\n",
    "                        bbox_y2_new = min(win_y2, bbox_y2) - win_y1\n",
    "                        if bbox_x1_new >= bbox_x2_new or bbox_y1_new >= bbox_y2_new:\n",
    "                            continue\n",
    "                        else:\n",
    "                            ann_count += 1\n",
    "                            if has_ann_flag == False:\n",
    "                                img_count += 1 # 该滑动窗口有标注的话就+1\n",
    "                                has_ann_flag = True\n",
    "                                \n",
    "                            # 如果该滑动窗口含有标注，加入标注数据annotations里\n",
    "                            annotations.append({'segmentation':[],\n",
    "                                               'area': int(bbox_y2_new - bbox_y1_new) * int(bbox_x2_new - bbox_x1_new),\n",
    "                                               'iscrowd':anns['iscrowd'],\n",
    "                                               'image_id':img_count,\n",
    "                                               'bbox':[bbox_x1_new, bbox_y1_new, bbox_x2_new - bbox_x1_new, bbox_y2_new - bbox_y1_new],\n",
    "                                               'category_id':anns['category_id'],\n",
    "                                               'ignore':anns['ignore'],\n",
    "                                               'id':ann_count})\n",
    "                                 \n",
    "                # 如果该滑动窗口含有标注，加入标注数据images里且保存该图片\n",
    "                if has_ann_flag == True:\n",
    "                    fn = img_name.split('.')[0] + '_' + str(count) + '.jpg'\n",
    "                    images.append({'file_name':fn,\n",
    "                                  'height':w,\n",
    "                                  'width':h,\n",
    "                                  'id':img_count})\n",
    "                    cv.imwrite(aug_img_path + fn, win_img)\n",
    "\n",
    "aug_anns = {'images':images, 'annotations':annotations, 'categories':train['categories']}\n",
    "with open(aug_json_path, 'w') as save_f:\n",
    "    save_f.write(json.dumps(aug_anns))\n",
    "print('Finishing instance-balanced augmentation')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "打印增强的数据下各类别数量情况："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The augmentation image number: 6963\n",
      "The augmentation annotation number: 22793\n",
      "\n",
      "The instance number of each class:\n",
      "holothurian :  8442\n",
      "echinus :  0\n",
      "scallop :  7733\n",
      "starfish :  6618\n"
     ]
    }
   ],
   "source": [
    "print(\"The augmentation image number: %d\" % len(aug_anns['images']))\n",
    "print(\"The augmentation annotation number: %d\" % len(aug_anns['annotations']))\n",
    "print(\"\")\n",
    "class_freq_dict = {}\n",
    "\n",
    "# init class_fre_dict\n",
    "for cls in aug_anns['categories']:\n",
    "    class_freq_dict[cls['id']] = 0\n",
    "\n",
    "# count the instance number of each class\n",
    "for ann in aug_anns['annotations']:\n",
    "    class_freq_dict[ann['category_id']] += 1\n",
    "\n",
    "# print out class frequency\n",
    "print(\"The instance number of each class:\")\n",
    "for cls_id in list(class_freq_dict.keys()):\n",
    "    for cat in aug_anns['categories']:\n",
    "        if cat['id'] == cls_id:\n",
    "            print(cat['name'], ': ', class_freq_dict[cls_id])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对比增强前后各类别数量情况："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5jOCNGpxzdVLOkH9X6/SW3fnjCoevX7+exx9/nF/84hc7Nd3TTjuNxx9/nBYtWlSleLWCXyE551wNWL9+PX/72992SN++fXuF402ZMqVOBCPwKySXZtV9lpqMZY2q66nzO2nYl+mZr8sIQ4YM4aOPPiI3N5cGDRrQtGlT2rVrR0FBAe+//z79+vVj+fLlbNmyhWuvvZbBgwcDkJOTQ35+Phs3buTUU0/lhBNO4LXXXmPfffdl0qRJNG7cOM1LVn38Csk552rAnXfeyUEHHURBQQF33303s2fPZvjw4bz//vsAjB07ljlz5pCfn8/IkSNZs2bNDtNYtGgRV111FfPnz6dFixY89dRTNb0YKeVXSM45lwbdu3enQ4cOJd9HjhzJxIkTAVi+fDmLFi1in332KTVOhw4dyM3NBaBbt24sW7asxspbEzwgOedcGuy5554ln6dPn87LL7/M66+/TpMmTejVq1fCHiUaNmxY8rl+/fp8/fXXNVLWmuJVds45VwOaNWvGhg0bEg778ssv2XvvvWnSpAkLFizgjTfeqOHSZQa/QnLO1UmVNdOubvvssw/HH388RxxxBI0bNy7VIW/fvn0ZNWoUXbp04dBDD6Vnz541WrZM4QHJOedqyOOPP54wvWHDhjz//PMJhxXfJ2rVqhXz5s0rSb/xxhurvXzp5lV2zjnnMoIHJOeccxnBA5JzzrmMkLKAJGmspM8lzYulPSGpILyWSSoI6TmSvo4NGxUbp5uk9yQtljRSoatZSS0lvSRpUXjfO1XL4pxzLvVSeYU0DugbTzCz880s18xygaeAp2ODPyoeZmY/j6XfDwwGOoZX8TSHAK+YWUfglfDdOedcLZWygGRmM4G1iYaFq5yfAOMrmoakdsBeZvZ6eCLhw0C/MPgs4KHw+aFYunPOuVooXc2+TwQ+M7NFsbQOkt4BvgJ+Z2azgH2BwliewpAG0NbMVgGY2SpJbWqg3M653cWw5tU8Pe88t6rS1ahhIKWvjlYB+5vZ0cCvgMcl7QUkejThTj9zXdJgSfmS8levXr1LBXbOuUy1bNmycv/jVJnjjjuumkuz62o8IEnKAs4BnihOM7OtZrYmfJ4DfAQcQnRFlB0bPRtYGT5/Fqr0iqv2Pi9vnmY22szyzCyvdevW1bk4zjmXdhUFpKKiogrHfe2111JRpF2SjiukHwILzKykKk5Sa0n1w+cDiRovLAlVchsk9Qz3nS4CJoXRJgMXh88Xx9Kdcy4j9evXj27dutG5c2dGjx4NQNOmTUuG/+tf/+KSSy4B4KOPPqJnz54cc8wx3HLLLaXylTVkyBBmzZpFbm4uI0aMYNy4cZx33nmcccYZ9OnTh40bN9K7d2+6du3KkUceyaRJ3/1cFk93+vTp9OrVi3PPPZfDDjuMQYMGEd26rzkpu4ckaTzQC2glqRC41czGAAPYsTHDScDtkoqA7cDPzay4QcSVRC32GgPPhxfAncCTki4HPgHOS9WyOOdcdRg7diwtW7bk66+/5phjjqF///7l5r322mu59tprGThwIKNGjSo3H0TPWvrTn/7Ec889B8C4ceN4/fXXmTt3Li1btqSoqIiJEyey11578cUXX9CzZ0/OPPNMwr9oSrzzzjvMnz+f9u3bc/zxx/Pqq69ywgknVH3Bk5SygGRmA8tJvyRB2lNEzcAT5c8HjkiQvgboXbVSOudczUn0zKPyvP766zzzzDMAXHDBBTvdd92PfvQjWrZsCYCZ8dvf/paZM2dSr149VqxYwWeffcb3vve9UuN0796d7OzoLklubi7Lli3bPQKSc86575T3zKP4VUqiZyDtqvjzlh577DFWr17NnDlzaNCgATk5OUk9b6my+0/VzQOSc65uquFm2uU986ht27Z88MEHHHrooUycOJFmzZoB0LNnT5566inOP/98JkyYUOG0K3rWUvG827RpQ4MGDZg2bRoff/xx9S1YNfK+7Jxzrgb07duXoqIiunTpws0331zyzKM777yT008/nZNPPpl27dqV5L/33nu555576N69O6tWraJ58/L/N9WlSxeysrI46qijGDFixA7DBw0aRH5+Pnl5eTz22GMcdthh1b+A1UA13Yoi3fLy8iw/Pz/dxXBBzpB/1/g8lzW6oMbnCfgfJ9Psgw8+oFOnTukuRtI2b95M48aNkcSECRMYP358qdZx6ZRoXUqaY2Z5VZmuV9k551wGmjNnDldffTVmRosWLRg7dmy6i5RyHpCccy4DnXjiibz77rul0t577z0uvPDCUmkNGzbkzTffrMmipYwHJOdcnWFmO/z3pjY58sgjKSgoSGsZUnmbxxs1OOfqhEaNGrFmzZoa731gd2JmrFmzhkaNGqVk+n6F5JyrE7KzsyksLMQ7WK6aRo0alfx5trp5QHLO1QkNGjSgQ4cO6S6Gq4BX2TnnnMsIHpCcc85lBA9IzjnnMoIHJOeccxnBA5JzzrmM4AHJOedcRvCA5JxzLiN4QHLOOZcRPCA555zLCB6QnHPOZQQPSM455zJCygKSpLGSPpc0L5Y2TNIKSQXhdVps2G8kLZa0UNIpsfS+IW2xpCGx9A6S3pS0SNITkvZI1bI455xLvVReIY0D+iZIH2FmueE1BUDS4cAAoHMY52+S6kuqD9wHnAocDgwMeQHuCtPqCKwDLk/hsjjnnEuxlAUkM5sJrE0y+1nABDPbamZLgcVA9/BabGZLzOwbYAJwlqInbJ0M/CuM/xDQr1oXwDnnXI1Kxz2kqyXNDVV6e4e0fYHlsTyFIa289H2A9WZWVCY9IUmDJeVLyvdnoTjnXGaq6YB0P3AQkAusAv4c0hM9U9h2IT0hMxttZnlmlte6deudK7FzzrkaUaMP6DOzz4o/S3oAeC58LQT2i2XNBlaGz4nSvwBaSMoKV0nx/M4552qhGr1CktQu9vVsoLgF3mRggKSGkjoAHYHZwFtAx9Cibg+ihg+TzcyAacC5YfyLgUk1sQzOOedSI2VXSJLGA72AVpIKgVuBXpJyiarXlgH/A2Bm8yU9CbwPFAFXmdn2MJ2rgReA+sBYM5sfZvFrYIKk3wPvAGNStSzOOedSL2UBycwGJkguN2iY2XBgeIL0KcCUBOlLiFrhOeec2w14Tw3OOecyggck55xzGcEDknOuyi677DLatGnDEUccUZJ2880306VLF3Jzc+nTpw8rV0YNYR977DG6dOlCly5dOO6443j33XdLxhkxYgSdO3fmiCOOYODAgWzZsgWAE088kdzcXHJzc2nfvj39+vn/4HdHHpCcc1V2ySWX8J///KdU2k033cTcuXMpKCjg9NNP5/bbbwegQ4cOzJgxg7lz53LzzTczePBgAFasWMHIkSPJz89n3rx5bN++nQkTJgAwa9YsCgoKKCgo4Nhjj+Wcc86p2QV0NcIDknOuyk466SRatmxZKm2vvfYq+bxp0yaiHr/guOOOY++9o05aevbsSWFhYUm+oqIivv76a4qKiti8eTPt27cvNc0NGzYwdepUv0LaTdXoH2Odc3XL0KFDefjhh2nevDnTpk3bYfiYMWM49dRTAdh333258cYb2X///WncuDF9+vShT58+pfJPnDiR3r17lwp2bvfhV0i1wM7Uz5sZv/zlLzn44IPp0qULb7/9dsk4ffv2pUWLFpx++umlpm9mDB06lEMOOYROnToxcuTImlkwt9sbPnw4y5cvZ9CgQfz1r38tNWzatGmMGTOGu+66C4B169YxadIkli5dysqVK9m0aROPPvpoqXHGjx/PwIGJ/lHidgcekGqBnamff/7551m0aBGLFi1i9OjRXHnllaXGeeSRR3aY/rhx41i+fDkLFizggw8+YMCAAaldIFfnXHDBBTz11FMl3+fOncsVV1zBpEmT2GeffQB4+eWX6dChA61bt6ZBgwacc845vPbaayXjrFmzhtmzZ/PjH/+4xsvvaoYHpFpgZ+rnJ02axEUXXYQkevbsyfr161m1ahUAvXv3plmzZjtM//777+eWW26hXr1od2jTpk2qFsXVIYsWLSr5PHnyZA477DAAPvnkE8455xweeeQRDjnkkJI8+++/P2+88QabN2/GzHjllVfo1KlTyfB//vOfnH766TRq1KjmFsLVqArvIYUH5L1gZj+sofK4nZCofn7FihXst993/dFmZ2ezYsUK2rVrV95k+Oijj3jiiSeYOHEirVu3ZuTIkXTs2DHl5Xe7j4EDBzJ9+nS++OILsrOzue2225gyZQoLFy6kXr16HHDAAYwaNQqA22+/nTVr1vCLX/wCgKysLPLz8+nRowfnnnsuXbt2JSsri6OPPrqkBR7AhAkTGDJkSML5u91DhQHJzLZL2iypuZl9WVOFcskZPnw4w4cP54477uCvf/0rt912G1G/s6UVXz2VZ+vWrTRq1Ij8/HyefvppLrvsMmbNmpWqYrvd0Pjx43dIu/zyxA9xfvDBB3nwwQcTDrvtttu47bbbEg6bPn36LpfP1Q7JVNltAd6TNEbSyOJXqgvmkhevn8/Ozmb58u+eaVhYWLhD09mysrOz6d+/PwBnn302c+fOTV1hnXOuHMkEpH8DNwMzgTmxl0uj8urnzzzzTB5++GHMjDfeeIPmzZtXWF0H0K9fP6ZOnQrAjBkzStXrO+dcTan0f0hm9pCkxsD+ZrawBsrkytiZ+vnTTjuNKVOmcPDBB9OkSRP+8Y9/lEznxBNPZMGCBWzcuJHs7GzGjBnDKaecwpAhQxg0aBAjRoygadOm5VanOOdcKinRPYdSGaQzgD8Be5hZh/A8o9vN7MyaKGB1y8vLs/z8/HQXwwU5Q/5d4/Nc1uiCGp8nAMP8NqxLzmWXXcZzzz1HmzZtmDcveo7pTTfdxLPPPssee+zBQQcdxD/+8Q9atGjB7NmzSxp/mBnDhg3j7LPPZvny5Vx00UV8+umn1KtXj8GDB3PttddWOK2qkDTHzPKqNI0kAtIc4GRgupkdHdLeM7MjqzLjdPGAlFk8IO0GhjVP03x30/UJzJw5k6ZNm3LRRReVBKQXX3yRk08+maysLH79618DcNddd7F582b22GMPsrKyWLVqFUcddRQrV65k9erVrFq1iq5du7Jhwwa6devGM888w+GHH17utKqiOgJSMveQihK0sKs4ijnnnNtlif572KdPH7Kyorss8T4AmzRpUpK+ZcuWkla17dq1o2vXrgA0a9aMTp06sWLFigqnlW7JBKR5ki4A6kvqKOn/gNcqG8k551xqjB07tqQPQIA333yTzp07c+SRRzJq1KiSYFNs2bJlvPPOO/To0aPSaaVTMp2rXgMMBbYC44EXgP9NZaFcGemoEtmNq0Ocq82GDx9OVlYWgwYNKknr0aMH8+fP54MPPuDiiy/m1FNPLenRYuPGjfTv35977713h05pE00rnZJpZbcZGCrpruirbUh9sZxzzpX10EMP8dxzz/HKK68k/MN7p06d2HPPPZk3bx55eXls27aN/v37M2jQoB2eIVXZtNKh0io7ScdIeg+YS/QH2XcldUt90ZxzzhX7z3/+w1133cXkyZNp0qRJSfrSpUspKioC4OOPP2bhwoXk5ORgZlx++eV06tSJX/3qV0lNK92SuYc0BviFmeWYWQ5wFfCPikcBSWMlfS5pXiztbkkLJM2VNFFSi5CeI+lrSQXhNSo2TjdJ70laHHqJUEhvKeklSYvC+947uezOOZeRBg4cyLHHHsvChQtL/jN49dVXs2HDBn70ox+Rm5vLz3/+cwD++9//ctRRR5Gbm8vZZ5/N3/72N1q1asWrr77KI488wtSpU0se/z5lyhSAcqeVbsk0+37VzI6vLC3BeCcBG4GHzeyIkNYHmGpmRaEKEDP7taQc4LnifGWmMxu4FngDmAKMNLPnJf0RWGtmd0oaAuxtZr+ubIFrZbPv3fgekjf73g14s29Hipt9S+oqqSswW9LfJfWS9H1JfwOmVzZhM5sJrC2T9qKZFYWvbwDZFU1DUjtgLzN73aLI+TBQ/Ozis4CHwueHYunOOedqoYoaNfy5zPdbY5+r439IlwFPxL53kPQO8BXwOzObBewLxBvIF4Y0gLZmtgrAzFZJKvchPpIGA4MheuaKc865zFNuQDKzH6RqppKGAu/fnN0AABn7SURBVEXAYyFpFVFfeWtCg4lnJHUGEjX92OlgaGajgdEQVdntWqmdc86lUqXNvkPDg4uAnHh+M/vlrsxQ0sXA6UDvUA2HmW0l+p8TZjZH0kfAIURXRPFqvWxgZfj8maR24eqoHfD5rpTHOecyzm5837giybSym0IUjN6jio+fkNQX+DVwZvh/U3F66/B0WiQdCHQEloQquQ2SeobWdRcBk8Jok4GLw+eLY+nOOedqoWR6amhkZr+qPFtpksYDvYBWkgqJ7kH9BmgIvBRab79hZj8HTgJul1QEbAd+bmbFDSKuBMYBjYHnwwvgTuBJSZcDnwDn7WwZnXPOZY5kAtIjkn4GPEeoVgOIBYyEzGxgguQx5eR9CniqnGH5wA7Nwc1sDdC7ojI455yrPZIJSN8AdxP1Z1fcIMCAA1NVKOecc3VPMgHpV8DBZvZFqgvjnHOu7kqmUcN8YHOluZxzzrkqSOYKaTtQIGkape8h7VKzb+eccy6RZALSM+HlnHPOpUwyz0N6qLI8zjnnXFUl01PDUhJ012Nm3srOOedctUmmyi7enXgjoj+gtkxNcZxzztVVlbayM7M1sdcKM7sXOLkGyuacc64OSabKrmvsaz2iK6ZmKSuRc865OimZKrv4c5GKgGXAT1JSGuecc3VWMq3sUvZcJOecc65YuQFJ0kUVjWhmD1d/cZxzztVVFV0hHZMgTcAZRI8R94DknHOu2lT0CPNrij+Hh+MNInq43hvA8NQXzTnnXF1S4T0kSVnAJcANwJvAuWa2sAbK5Zxzro6p6B7SVcC1wCtAXzP7uMZK5Zxzrs6p6Arp/4DPgROAZ8MjxyG6j2Rm1iXFZXPOOVeHVBSQOtRYKZxzztV5FTVq8Co655xzNSaZJ8Y655xzKZfSgCRprKTPJc2LpbWU9JKkReF975AuSSMlLZY0N96HnqSLQ/5Fki6OpXeT9F4YZ6RiN7qcc87VLqm+QhoH9C2TNgR4xcw6ErXgGxLSTwU6htdg4H6IAhhwK9AD6A7cWhzEQp7BsfHKzss551wtUWlAknR8uJL5UNISSUslLUlm4mY2E1hbJvksoPgptA8B/WLpD1vkDaCFpHbAKcBLZrbWzNYBLwF9w7C9zOx1MzOiniP64ZxzrlZKprfvMcD1wBxgezXMs62ZrQIws1WS2oT0fYHlsXyFIa2i9MIE6TuQNJjoSor999+/GhbBOedcdUsmIH1pZs+nvCTR/5vKsl1I3zHRbDQwGiAvLy9hHuecc+mVzD2kaZLulnSspK7FryrM87NQ3UZ4/zykFwL7xfJlAysrSc9OkO6cc64WSuYKqUd4z4ulGbv+GPPJwMXAneF9Uiz9akkTwjy/DFV6LwB/iDVk6AP8xszWStogqSdRP3sXEfUu4ZxzrhZK6QP6JI0HegGtJBUStZa7E3hS0uXAJ8B5IfsU4DRgMbAZuDTMf62k/wXeCvluN7PihhJXErXkaww8H17OOedqoUoDkqTmRIHkpJA0gygofFnZuGY2sJxBvRPkNeCqcqYzFhibID0fOKKycjjnnMt8ydxDGgtsAH4SXl8B/0hloZxzztU9ydxDOsjM+se+3yapIFUFcs45Vzclc4X0taQTir9IOh74OnVFcs45Vxclc4V0JfBQuJckop4XLklloZxzztU9ybSyKwCOkrRX+P5VykvlnHOuzqnoEeY/NbNHJf2qTDoAZnZPisvmnHOuDqnoCmnP8N4swTDvfsc551y1quiJsX8PH182s1fjw0LDBuecc67aJNPKLlF3PN5Fj3POuWpV0T2kY4HjgNZl7iPtBdRPdcGcc87VLRXdQ9oDaBryxO8jfQWcm8pCOeecq3squoc0A5ghaZyZfVyDZXLOOVcHJfPH2M2S7gY6A42KE81sVx8/4Zxzzu0gmUYNjwELgA7AbcAyvnsUhHPOOVctkglI+5jZGGCbmc0ws8uAnikul3POuTommSq7beF9laQfEz0mPLuC/M4559xOSyYg/T50rHoD0f+P9gKuS2mpnHPO1TnJBKR14emwXwI/AO+pwTnnXPXznhqcc85lBO+pwTnnXEao6AqpbE8Nxa8q9dQg6VBJBbHXV5KukzRM0opY+mmxcX4jabGkhZJOiaX3DWmLJQ3Z1TI555xLv6R7apDULEq2jVWZoZktBHIBJNUHVgATgUuBEWb2p3h+SYcDA4j+mNseeFnSIWHwfcCPgELgLUmTzez9qpTPOedceiTTqKGZpHeAlgCSvgAuNrN51TD/3sBHIeCVl+csYIKZbQWWSloMdA/DFpvZklCuCSGvByTnnKuFkmnUMBr4lZkdYGYHEDX/Hl1N8x8AjI99v1rSXEljJe0d0vYFlsfyFIa08tKdc87VQskEpD3NbFrxFzObzndPk91lkvYAzgT+GZLuBw4iqs5bBfy5OGuC0a2C9ETzGiwpX1L+6tWrq1Ru55xzqZFMQFoi6WZJOeH1O2BpNcz7VOBtM/sMwMw+M7PtZvYt8ADfVcsVAvvFxssm6i2ivPQdmNloM8szs7zWrVtXQ9Gdc85Vt2QC0mVAa+BposYHrYkaIFTVQGLVdZLaxYadDRTfo5oMDJDUUFIHoCMwm6iD146SOoSrrQEhr3POuVqo0kYNZrYO+GV1zlRSE6LWcf8TS/6jpFyiardlxcPMbL6kJ4kaKxQBV5nZ9jCdq4EXiP4XNdbM5ldnOZ1zztWcSgNSaGJ9I5ATz1+V5yGZ2WZgnzJpF1aQfzgwPEH6FGDKrpbDOedc5kim2fc/gVHAg8D21BbHOedcXZVMQCoys/tTXhLnnHN1WjKNGp6V9AtJ7SS1LH6lvGTOOefqlGSukC4O7zfF0gw4sPqL45xzrq5KppVdh5ooiHPOZbqcnByaNWtG/fr1ycrKIj8/n/PPP5+FCxcCsH79elq0aEFBQQEAd9xxB2PGjKF+/fqMHDmSU04p6Rua7du3k5eXx7777stzzz2XluXJNMlcISHpOHZsZfdwisrknKsmiX5Ahw0bxgMPPEDxn8T/8Ic/cNppp7Fs2TI6derEoYceCkDPnj0ZNWpUqemdeeaZLFmyhHnzqqMry9pp2rRptGrVquT7E088UfL5hhtuoHnz5gC8//77TJgwgfnz57Ny5Up++MMf8uGHH1K/fvT0nr/85S906tSJr776qmYXIIMl0+z7EaIufQr4rpWdAR6QnKsFyv6AAlx//fXceOONO+Q96KCDSs7uy3r66adp2rRpSsq4OzAznnzySaZOnQrApEmTGDBgAA0bNqRDhw4cfPDBzJ49m2OPPZbCwkL+/e9/M3ToUO655540lzxzJNOoIQ843sx+YWbXhFe1/lHWOZfZNm7cyD333MPvfve7dBclrSTRp08funXrxujRpfuYnjVrFm3btqVjx44ArFixgv32+653s+zsbFasWAHAddddxx//+Efq1UvmJ7juSGZtzAO+l+qCOOeqX3k/oH/961/p0qULl112GevWrStJX7p0KUcffTTf//73mTVrVkn6zTffzA033ECTJk1qtPyZ5tVXX+Xtt9/m+eef57777mPmzJklw8aPH8/AgQNLvpvt2NezJJ577jnatGlDt27daqTMtUkyAakV8L6kFyRNLn6lumDOuapL9AN65ZVX8tFHH1FQUEC7du244YYbAGjXrh2ffPIJ77zzDvfccw8XXHABX331FQUFBSxevJizzz47zUuTfu3btwegTZs2nH322cyePRuAoqIinn76ac4///ySvNnZ2Sxf/t0TcgoLC2nfvj2vvvoqkydPJicnhwEDBjB16lR++tOf1uyCZKhkAtIwoB/wB6JHQhS/nHMZLtEPaNu2balfvz716tXjZz/7WcmPasOGDdlnn6hHr27dunHQQQfx4Ycf8vrrrzNnzhxycnI44YQT+PDDD+nVq1e6FiltNm3axIYNG0o+v/jiixxxxBEAvPzyyxx22GFkZ2eX5D/zzDOZMGECW7duZenSpSxatIju3btzxx13UFhYyLJly5gwYQInn3wyjz76aFqWKdMk0+x7Rvy7pOOBC4AZicdwzmWCTZs28e2339KsWbOSH9BbbrmFVatW0a5d1Ln+xIkTS35UV69eTcuWLalfvz5Llixh0aJFHHjggeTl5XHllVcCsGzZMk4//XSmT5+ersVKm88++6zkKrGoqIgLLriAvn37AjBhwoRS1XUAnTt35ic/+QmHH344WVlZ3HfffSUt7FxiyTb7ziUKQj8hehbSU6kslHOu6sr7Ab3wwgspKChAEjk5Ofz9738HYObMmdxyyy1kZWVRv359Ro0aRcuW3ilLsQMPPJB333034bBx48YlTB86dChDhw4td5q9evWqk1eb5Sk3IIVevgcQPbdoDfAEIDP7QQ2VzTlXBeX9gD7yyCMJ8/fv35/+/ftXOM2cnJw6/R8kl1oVXSEtAGYBZ5jZYgBJ19dIqZxzztU5FTVq6A98CkyT9ICk3oBqpljOOefqmnKvkMxsIjBR0p5EreyuB9pKuh+YaGYv1lAZnXMuLXKG/Dst813WKC2zTbtKm32b2SYze8zMTgeyiboQGpLyktUS27dv5+ijj+b0008H4JJLLqFDhw7k5uaSm5tb0g3L3XffXZJ2xBFHUL9+fdauXVvudJxzrq5JqpVdMTNbC/w9vByJO0i8++67Offcc0vlu+mmm7jppugJHs8++ywjRowo1YLJO1p01SEdZ/R19WzeVT/vSKkKijtIvOKKK3ZqvLJdjOzqdJxzbnfiAakKyusgcejQoXTp0oXrr7+erVu3lhq2efNm/vOf/5RqXusdLTrnXBoDkqRlkt6TVCApP6S1lPSSpEXhfe+QLkkjJS2WNFdS19h0Lg75F0m6uLz5VbfyOki84447WLBgAW+99RZr167lrrvuKjX82Wef5fjjjy+prvOOFp1zLpLuU/IfmFmumeWF70OAV8ysI/AK3zWeOBXoGF6DgfshCmDArUAPoDtwa3EQS7XyOkhs164dkmjYsCGXXnppST9hxcp2MeIdLTrnXCTdAamss4CHwueHiJqbF6c/bJE3gBaS2gGnAC+Z2VozWwe8BPStiYKW10HiqlWrgKjr+WeeeaaknzCAL7/8khkzZnDWWWdVOh3nnKtrdqqVXTUz4EVJBvzdzEYDbc1sFYCZrZLUJuTdF1geG7cwpJWXXoqkwURXVuy///7VvRylDBo0iNWrV2Nm5ObmlnoE9MSJE+nTpw977rlnSsvgnHO1UToD0vFmtjIEnZckLaggb6IeIqyC9NIJUbAbDZCXl7fjU7OqKN5BYvHjixO55JJLuOSSS5KajnPO1TVpq7Izs5Xh/XNgItE9oM9CVRzh/fOQvRDYLzZ6NrCygnTnnHO1TFoCkqQ9JTUr/gz0IXpU+mSguKXcxcCk8HkycFFobdcT+DJU7b0A9JG0d2jM0CekOeecq2XSVWXXlqifvOIyPG5m/5H0FvCkpMuBT4DzQv4pwGnAYmAzcClEPUdI+l/grZDv9tCbhHPOuVomLQHJzJYARyVIXwP0TpBuwFXlTGssMLa6y5iId7TonHOpk2nNvp1zztVRHpCcc85lBA9IzjnnMoIHJOeccxnBA5JzzrmM4AHJOedcRvCA5JxzLiN4QHLOOZcRPCA555zLCB6QnHPOZQQPSM455zKCByTnnHMZwQOSc865jOAByTnnXEbwgOSccy4jeEByzjmXETwgOeecywgekJxzzmUED0jOOecyggck55xzGcEDknPOuYxQ4wFJ0n6Spkn6QNJ8SdeG9GGSVkgqCK/TYuP8RtJiSQslnRJL7xvSFksaUtPL4pxzrvpkpWGeRcANZva2pGbAHEkvhWEjzOxP8cySDgcGAJ2B9sDLkg4Jg+8DfgQUAm9Jmmxm79fIUjjnnKtWNR6QzGwVsCp83iDpA2DfCkY5C5hgZluBpZIWA93DsMVmtgRA0oSQ1wOSc87VQmm9hyQpBzgaeDMkXS1prqSxkvYOafsCy2OjFYa08tITzWewpHxJ+atXr67GJXDOOVdd0haQJDUFngKuM7OvgPuBg4BcoiuoPxdnTTC6VZC+Y6LZaDPLM7O81q1bV7nszjnnql867iEhqQFRMHrMzJ4GMLPPYsMfAJ4LXwuB/WKjZwMrw+fy0p1zztUy6WhlJ2AM8IGZ3RNLbxfLdjYwL3yeDAyQ1FBSB6AjMBt4C+goqYOkPYgaPkyuiWVwzjlX/dJxhXQ8cCHwnqSCkPZbYKCkXKJqt2XA/wCY2XxJTxI1VigCrjKz7QCSrgZeAOoDY81sfk0uiHPOueqTjlZ2/yXx/Z8pFYwzHBieIH1KReM555yrPbynBueccxnBA5JzzrmM4AHJOedcRvCA5JxzLiN4QHLOOZcRPCA555zLCB6QnHPOZQQPSM455zKCByTnnHMZwQOSc865jOAByTnnXEbwgOSccy4jeEByzjmXETwgOeecywgekJxzzmUED0jOOecyggck55xzGcEDknPOuYzgAck551xG8IDknHMuI3hAcs45lxFqfUCS1FfSQkmLJQ1Jd3mcc87tmlodkCTVB+4DTgUOBwZKOjy9pXLOObcranVAAroDi81siZl9A0wAzkpzmZxzzu0CmVm6y7DLJJ0L9DWzK8L3C4EeZnZ1mXyDgcHh66HAwhotaNW1Ar5IdyF2I74+q5evz+pXG9fpAWbWuioTyKqukqSJEqTtEGHNbDQwOvXFSQ1J+WaWl+5y7C58fVYvX5/Vr66u09peZVcI7Bf7ng2sTFNZnHPOVUFtD0hvAR0ldZC0BzAAmJzmMjnnnNsFtbrKzsyKJF0NvADUB8aa2fw0FysVam11Y4by9Vm9fH1Wvzq5Tmt1owbnnHO7j9peZeecc2434QHJOedcRvCAtAsk5UiatxP5x4X/TFWU5zpJTWLfN1aljGEar1V1GrWRpGGSbixnWJ1cJ6kUPx4k9ZL0XLrLlEnKHts7Md5hkgokvSPpoMr23er4zUg3D0iZ4zpgp3faREKXSpjZcdUxvd2JrxOXBjt9bIdjuB8wycyONrOP6sK+6wFp19WX9ICk+ZJelNRYUq6kNyTNlTRR0t5lR5LUO5zxvCdprKSGkn4JtAemSZoWyztc0rthmm1DWqmrreKzonBmOk3S48B7ZYY1lfSKpLfDfM8K6TmSPii7HClcZ1Ui6aeSZoezxr9Lqh861307rKdXYtkPlzRd0pKwfounEV9f0yX9S9ICSY9JUhi2TFKr8DlP0vTw+fth3sVnrc1qbulTR9Kekv4d1uE8SedLOkbSayFttqRmYX+ZFdb325Iq/IGU1FLSM+F4eENSl5A+TNIjkqZKWiTpZzWzpKmXYF3eSpljW9L9kvLDMXdbbNxlkm6R9F/gfKJAdkVsvOJ9t52kmWE/nCfpxNg0dvjNqFXMzF87+QJygCIgN3x/EvgpMBf4fki7Hbg3fB4HnAs0ApYDh4T0h4HrwudlQKvYPAw4I3z+I/C7+LRi+TaG917AJqBDgmFZwF7hcytgMVEvFwmXI93rt5x13gl4FmgQvv8NuDiszw4hrWV4Hwa8BjQMy7smNl58fX1J9GfqesDrwAlltwWQB0wPn58Fjg+fmwJZ6V4v1bRu+wMPxL43B5YAx4Tve4V9qAnQKKR1BPJjx8O82Hp9Lnz+P+DW8PlkoCC2fd4FGoftsxxon+71kMJ1WfbYLt5P6wPTgS6x/e7/xfINA26MfS/ed28Ahsam0Sx8TvibUZtefoW065aaWUH4PAc4CGhhZjNC2kPASWXGOTSM92EFeYp9AxTXxc8hOugrM9vMliZIF/AHSXOBl4F9geKzp7LLkcx80qE30A14S1JB+P5LYGbxMpvZ2lj+f5vZVjP7Avic75Y3braZFZrZt0ABlS/7q8A94YqrhZkVVWmJMsd7wA8l3RXOtvcHVpnZWwBm9lVY1gbAA5LeA/5J1MN+RU4AHgnTmArsI6l5GDbJzL4O22caUUfJu4NS69LMvkyQ5yeS3gbeATpTej0+kcQ83gIulTQMONLMNoT0XfnNyCgekHbd1tjn7UCLJMZJ1PdeebZZONUJ0y/+E3MRYbuFKqY9YuNsKmdag4DWQDczywU+I7pagx2XI1P/LC3gITPLDa9DgdtI0HdhkMxylZenZB3z3XrCzO4EriA6s39D0mE7vRQZKJwgdSP6Mb0DOJvE6/V6on3nKKIrxz0S5ImrqK/JstPfLf4QWXZdSrolPlxSB+BGoLeZdQH+TWwfo/xjOD6PmUQnsiuARyRdFAaV95tRa3hAqj5fAuti9bkXAjPK5FkA5Eg6OEGeDUAy9ySWEe3wED1qo0ES4zQHPjezbZJ+AByQxDiZ5hXgXEltILo/QVTt8/1wkBenVYdlfLeO+xcnSjrIzN4zs7uAfGC3CEiS2gObzexR4E9AT6C9pGPC8GaSsoj2o1XhivJCouqiiswkOhlCUi/gCzP7Kgw7S1IjSfsQVfO9Vb1LlR4J1mVXSh/bexEFnS/DPZ5Td2EeBxAdzw8AY8I8dgu1LoJmuIuBUYqaeC4BLo0PNLMtki4F/hkO8LeAUWHwaOB5SavM7AcVzOMBYJKk2UQ/0pWeUQGPAc9KyieqmlqwMwuVCczsfUm/A16UVA/YBlxF9FiRp0Pa58CPqmF2twFjJP0WeDOWfl0I6NuB94Hnq2FemeBI4G5J3xKt1yuJrm7+LzRy+Rr4IdF9u6cknUdUzVbZvjcM+EeoKt5MdHwUm010dbA/8L9mtrt0ipxoXR5L7NiW9A4wn+g34tVdmEcv4CZJ24CNwEUVZ689vOsg51yNCvc+NprZn9JdFpdZvMrOOedcRvArJOeccxnBr5Ccc85lBA9IzjnnMoIHJOeccxnBA5JzzrmM4AHJOedcRvj/PxPKYS5BBqcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "labels = ['holothurian', 'echinus', 'scallop', 'starfish']\n",
    "train_means = [4574, 18676, 5554, 5704]\n",
    "aug_train_means = [8442+4574, 18676, 7733+5554, 6618+5704]\n",
    "\n",
    "x = np.arange(len(labels))  # the label locations\n",
    "width = 0.35  # the width of the bars\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "rects1 = ax.bar(x - width/2, train_means, width, label='train')\n",
    "rects2 = ax.bar(x + width/2, aug_train_means, width, label='aug_train')\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('Annotation Number')\n",
    "ax.set_title('The annotation number before and after data augmentation')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels)\n",
    "ax.legend()\n",
    "\n",
    "\n",
    "def autolabel(rects):\n",
    "    \"\"\"Attach a text label above each bar in *rects*, displaying its height.\"\"\"\n",
    "    for rect in rects:\n",
    "        height = rect.get_height()\n",
    "        ax.annotate('{}'.format(height),\n",
    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
    "                    xytext=(0, 3),  # 3 points vertical offset\n",
    "                    textcoords=\"offset points\",\n",
    "                    ha='center', va='bottom')\n",
    "\n",
    "\n",
    "autolabel(rects1)\n",
    "autolabel(rects2)\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将增强的数据标注追加到未增强的原数据标注中去："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('seacoco/ahf_aug_train.json', 'r') as f:\n",
    "    atrain = json.load(f)\n",
    "\n",
    "with open('seacoco/train_new.json', 'r') as f1:\n",
    "    train = json.load(f1)\n",
    "\n",
    "img_id = 6963\n",
    "ann_id = 22793\n",
    "old2newimgid_dict = {}\n",
    "for t_img in train['images']:\n",
    "    img_id += 1\n",
    "    atrain['images'].append({'file_name':t_img['file_name'],\n",
    "                            'height':t_img['height'],\n",
    "                            'width':t_img['width'],\n",
    "                            'id':img_id})\n",
    "    old2newimgid_dict[t_img['id']] = img_id\n",
    "    \n",
    "for t_ann in train['annotations']:\n",
    "    ann_id += 1 \n",
    "    atrain['annotations'].append({'segmentation':[],\n",
    "                                 'area':t_ann['area'],\n",
    "                                 'iscrowd':t_ann['iscrowd'],\n",
    "                                 'image_id':old2newimgid_dict[t_ann['image_id']],\n",
    "                                 'bbox':t_ann['bbox'],\n",
    "                                 'category_id':t_ann['category_id'],\n",
    "                                 'id':ann_id,\n",
    "                                 'ignore':t_ann['ignore']})\n",
    "    \n",
    "with open('seacoco/new_ahf_aug_train.json', 'w') as save_f:\n",
    "    json.dump(atrain, save_f)"
   ]
  }
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